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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Description Above position is expected to implement Data Orchestration -Data Transformation and Data integration using MS Azure services. Data Extraction, Transformation, Loading are main responsibilities considering enterprise data management for data lakes and data warehouses. MS Azure Data Engineer (MS Certified) is preferred.Responsibilities Implement Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenarios Manage Azure DevOps pipelines Develop batch processing, streaming and integration solutions Automate Azure Data Factory pipelines Manage source data access security Configure authentication and authorization Manage and enforce data policies and standards Monitor databases and data processing for a specified scenarioBasic Qualifications Education: B.E./M.Sc./M.E./M. Tech. Experience: 5 7 years in Core Data Engineering. Minimum 3 Years in Azure Data EngineeringKnowledge & Skills Very strong @ SQL-PL SQL-Spark SQL. Interaction with No SQL Databases Interaction with Event Hub, IoT Hub Databases Files Processing XML, CSV, Excel, Jason, etc. Formats Structured and Non-Structured Data processing Data ETL Capabilities. Knowledge of Distributed Big Data Processing Data Warehouse and Data Lake Implementation experience in past. Interaction with REST APIs , Web ServicesRequired Competencies Customer Focus Good verbal & written English communication Ability to work with globally diverse teams. Readiness to work in flexible work timings. Abstract& Analytical Thinking.,
Keyskills :
big datacore datadata managementdata processingdata extractionenterprise databatch processingdata integrationimplementation experiencesqlxml